Decoding device and method for MIMO system

Abstract

The present invention relates to a decoding device and method for a MIMO system. A linear process is applied to a received signal vector by using a channel matrix estimated from the received signal vector and a poly-diagonalized matrix, and a soft decision value is acquired through a trellis decode by using the linear process result. Since the linear preprocess is performed by using the poly-diagonalized matrix, it is possible to receive a MIMO signal having good packet error rate performance and less complexity. Also, since the tail-biting trellis decoding method is used based on the poly-diagonalized matrix that is generated by poly-diagonalizing the effective channel matrix during the process for eliminating the signal interference, the soft decision value for the symbol can be generated with a simple hardwired device and less operation complexity.

Description

CROSS REFERENCE TO RELATED APPLICATIONS[0001]This application is a 371 of and claims the benefit of International Application No. PCT / KR2008 / 002790, filed May 19, 2008, and claims the benefit of Korean Application No. 10-2007-0053208, filed May 31, 2007, and Korean Application No. 10-2007-0093558, filed Sep. 14, 2007, the disclosures of all of which are incorporated herein by reference.BACKGROUND OF THE INVENTION[0002](a) Field of the Invention[0003]The present invention relates to a decoding method and device, and in particular, it relates to a decoding device and method for a multi-input multi-output system.[0004]This work was supported by the IT R&D program of MIC / IITA. [2006-S-014-02, Development of IEEE 802.11n Modem & RF Chip-sets with Data Rate 200 Mbps].[0005](b) Description of the Related Art[0006]The multi-input multi-output (MIMO) system is a core technique for the wireless digital communication system, and a plurality of corresponding transmitting / receiving schemes have ...

AI Technical Summary

Benefits of technology

The present invention provides a decoding device and method that can generate great packet error rate performance while reducing the complexity of the receiver. The device includes a demultiplexer, channel estimator, and MIMO decoder. The MIMO decoder uses a poly-diagonalized matrix to output a received signal vector and generate a soft decision value based on the received signal vector. The method also includes finding a poly-diagonalized matrix, calculating a first received signal vector, and using the calculated first received signal vector, coefficient value, and variance value of effective noise to generate the soft decision value. The invention can receive MIMO signals with good packet error rate performance and less complexity. The tail-biting trellis decoding method simplifies the process of generating a soft decision value with a simple hardwired device and less operation complexity.

Problems solved by technology

However, the ML method exponentially increases complexity according to the number of transmit antennas and the order of modulation.

In the theoretical information viewpoint, the SIC method is the best receiving algorithm for achieving channel capacity, but it requires a large amount of decoding delay since it needs to perform sequential interference cancellation.

Further, the ML method generates good performance for the frame error rate, but it is difficult to apply to a real receiver because of its great operation complexity.

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